About: Cache stampede     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : dbo:MilitaryConflict, within Data Space : dbpedia.org associated with source document(s)
QRcode icon
http://dbpedia.org/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FCache_stampede

A cache stampede is a type of cascading failure that can occur when massively parallel computing systems with caching mechanisms come under very high load. This behaviour is sometimes also called dog-piling. To understand how cache stampedes occur, consider a web server that uses memcached to cache rendered pages for some period of time, to ease system load. Under particularly high load to a single URL, the system remains responsive as long as the resource remains cached, with requests being handled by accessing the cached copy. This minimizes the expensive rendering operation.

AttributesValues
rdf:type
rdfs:label
  • Cache stampede (en)
rdfs:comment
  • A cache stampede is a type of cascading failure that can occur when massively parallel computing systems with caching mechanisms come under very high load. This behaviour is sometimes also called dog-piling. To understand how cache stampedes occur, consider a web server that uses memcached to cache rendered pages for some period of time, to ease system load. Under particularly high load to a single URL, the system remains responsive as long as the resource remains cached, with requests being handled by accessing the cached copy. This minimizes the expensive rendering operation. (en)
dcterms:subject
Wikipage page ID
Wikipage revision ID
Link from a Wikipage to another Wikipage
Link from a Wikipage to an external page
sameAs
dbp:wikiPageUsesTemplate
has abstract
  • A cache stampede is a type of cascading failure that can occur when massively parallel computing systems with caching mechanisms come under very high load. This behaviour is sometimes also called dog-piling. To understand how cache stampedes occur, consider a web server that uses memcached to cache rendered pages for some period of time, to ease system load. Under particularly high load to a single URL, the system remains responsive as long as the resource remains cached, with requests being handled by accessing the cached copy. This minimizes the expensive rendering operation. Under low load, cache misses result in a single recalculation of the rendering operation. The system will continue as before, with average load being kept very low because of the high cache hit rate. However, under very heavy load, when the cached version of that page expires, there may be sufficient concurrency in the server farm that multiple threads of execution will all attempt to render the content of that page simultaneously. Systematically, none of the concurrent servers know that the others are doing the same rendering at the same time. If sufficiently high load is present, this may by itself be enough to bring about congestion collapse of the system via exhausting shared resources. Congestion collapse results in preventing the page from ever being completely re-rendered and re-cached, as every attempt to do so times out. Thus, cache stampede reduces the cache hit rate to zero and keeps the system continuously in congestion collapse as it attempts to regenerate the resource for as long as the load remains very heavy. To give a concrete example, assume the page in consideration takes 3 seconds to render and we have a traffic of 10 requests per second. Then, when the cached page expires, we have 30 processes simultaneously recomputing the rendering of the page and updating the cache with the rendered page. (en)
gold:hypernym
prov:wasDerivedFrom
page length (characters) of wiki page
foaf:isPrimaryTopicOf
is Link from a Wikipage to another Wikipage of
is Wikipage redirect of
is Wikipage disambiguates of
is foaf:primaryTopic of
Faceted Search & Find service v1.17_git139 as of Feb 29 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (61 GB total memory, 49 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software